Welcome to the Momenta Learning News on Machine Learning. This is issue 76, please feel free to share this post.
Ensuring that data is “clean” is going to be critical to ensure that the “machine learning algorithms” now being increasingly used throughout the trucking industry to manage everything from fuel spend to vehicle lifecycle costs, argues Kurt Thearling, vice president of analytics for WEX Inc.
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Machine learning is a type of artificial intelligence that allows computer programs to learn when exposed to new data without being programmed. Now, researchers in The Netherlands have coupled machine learning methods with a special MRI technique that measures the perfusion, or tissue absorption rate, of blood throughout the brain to detect early forms of dementia, such as mild cognitive impairment (MCI), according to a new study published online in the journal Radiology.
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Updated July 06, 2016 11:05:30 An artificial intelligence platform, called Rechtwijzer, could soon give lawyers in Australia a run for their money by being called on in legal battlegrounds like divorce, custody, employment and debt disputes. National Legal Aid and RMIT University are showcasing Dutch technology that could make time-consuming and expensive court conflict a thing of the past.
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Advancements to machine learning and artificial intelligence technologies, advancements to argumentation and collaboration technologies, can support large-scale deliberative and epistemic democratic processes and can provide the public with a number of large-scale and transparent decision support systems. Machine learning and artificial intelligence topics include: 1.
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This is the third in a series of posts on how to build a Data Science Portfolio. If you like this and want to know when the next post in the series is released, you can subscribe at the bottom of the page. Data science companies are increasingly looking at portfolios when making hiring decisions.
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Deep learning is a fascinating field of study and the techniques are achieving world class results in a range of challenging machine learning problems. It can be hard to get started in deep learning. Which library should you use and which techniques should you focus on?
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Someone at Google really likes sneakers: The company has just bought a French machine learning startup that taught a computer how to recognize 15,000 different types of them. Paris-based Moodstocks builds image and object recognition software using deep learning techniques, and offered an Android app and visual search API that could recognize certain kinds of object.
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You can hardly talk to a technology executive or developer today without talking about artificial intelligence, machine learning or bots. While everyone agrees on the importance of machine learning to their company and industry, few companies have adequate expertise to do what they wanted the technology to do.
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Machine learning has advanced to the point where it more or less goes hand-in-hand with Big Data. Indeed, so popular is the technology that over a third of developers – some 36 percent – who’re working on Big Data or advanced analytics projects use elements of machine learning, says a new study by Evans Data Corp.
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The widespread use of smartphones to collect healthcare data has been thrown into doubt by a couple of recent studies. In some fields, such as the management of chronic diseases and mental health monitoring smartphones have enabled a greater level of patient self-control, and personalised clinical intervention.
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